MacBook Air (Late 2020)
Geekbench AI Score
3205
Single Precision Score
15981
Half Precision Score
15658
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | September 17 2025 04:28 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| Model | MacBook Air (Late 2020) |
| Model ID | MacBookAir10,1 |
| Motherboard | MacBookAir10,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1416
263.3 IPS |
|
|
Image Classification (HP)
|
100% |
6336
1.18 KIPS |
|
|
Image Classification (Q)
|
96% |
5976
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1357
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9700
157.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10029
162.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6495
7.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
68645
80.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
66604
78.1 IPS |
|
|
Object Detection (SP)
|
100% |
1508
119.6 IPS |
|
|
Object Detection (HP)
|
99% |
7341
584.0 IPS |
|
|
Object Detection (Q)
|
91% |
6866
548.6 IPS |
|
|
Face Detection (SP)
|
100% |
2980
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
16808
199.7 IPS |
|
|
Face Detection (Q)
|
100% |
15363
182.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5656
43.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
48422
373.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
49188
384.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16976
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
122159
157.0 IPS |
|
|
Style Transfer (Q)
|
96% |
115501
149.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3680
135.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23950
884.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24439
902.4 IPS |
|
|
Text Classification (SP)
|
100% |
2316
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4065
5.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4035
5.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
2492
42.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3625
62.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3757
64.9 IPS |
